Granted Patent B2

US 12,439,270 · App. 19/058,709 · Granted Oct 7, 2025

Inventor: Armando Montalvo (Winter Garden, FL)

Assignee: Digital Global Systems, Inc.

H04W16/14G06F30/27G06N3/02G06N5/022G06N5/04G06N20/00G06N20/10G06N20/20H04L41/0893H04L41/16H04W16/10H04W24/02H04W72/0453G06N3/042G06N3/045H04L41/0894H04W24/08Y04S40/00

Abstract

Claims (34)

1. A system for creating actionable data for spectrum management in an electromagnetic environment comprising:

at least one monitoring sensor operable to monitor the electromagnetic environment and create measured data;

at least one data analysis engine operable to analyze the measured data; and

at least one server;

wherein the at least one data analysis engine is operable to identify a source of at least one signal of interest; and

wherein the at least one server is operable to use analyzed data from the at least one data analysis engine to create the actionable data.

2. The system of claim 1 , wherein the source of the at least one signal of interest is at least one base station.

3. The system of claim 1 , further comprising at least one learning engine operable to learn the electromagnetic environment.

4. The system of claim 3 , wherein the at least one learning engine is operable to reevaluate or update the electromagnetic environment after a problem is detected.

5. The system of claim 3 , wherein the at least one learning engine uses learning techniques including machine learning (ML), artificial intelligence (AI), deep learning (DL), neural networks (NNs), artificial neural networks (ANNs), support vector machines (SVMs), Markov decision process (MDP), and/or natural language processing (NLP).

6. The system of claim 1 , further comprising a geolocation engine operable to identify a location of the source of the at least one signal of interest.

7. The system of claim 1 , further comprising a certification and compliance application operable to determine adherence of at least one base station to at least one rule or at least one policy.

8. The system of claim 1 , wherein the at least one data analysis engine is operable to classify the source of the at least one signal of interest using machine learning (ML) or a neutral network (NN).

9. The system of claim 1 , wherein the at least one data analysis engine is operable to receive information from a blind detection engine.

10. The system of claim 1 , wherein the at least one data analysis engine generates a query to a static database to classify the at least one signal of interest based on components of the at least one signal of interest.

11. A system for creating actionable data for spectrum management in an electromagnetic environment comprising:

at least one monitoring sensor operable to create measured data;

at least one data analysis engine operable to analyze the measured data; and

at least one application and/or at least one server;

wherein the at least one data analysis engine is operable to classify at least one signal of interest autonomously using machine learning (ML); and

wherein the at least one application and/or the at least one server is operable to create the actionable data based on at least one rule and/or at least one policy.

12. The system of claim 11 , wherein a source of the at least one signal of interest is at least one base station.

13. The system of claim 11 , wherein the actionable data includes parameters to modify for at least one base station.

14. The system of claim 11 , further comprising a resource brokerage application, wherein the resource brokerage application is operable to optimize resources based on the actionable data to improve performance of at least one customer application and/or at least one customer device.

15. The system of claim 11 , wherein the at least one data analysis engine is operable to classify a source of the at least one signal of interest continuously.

16. A method for creating actionable data for spectrum management in an electromagnetic environment comprising:

at least one monitoring sensor creating measured data;

at least one data analysis engine analyzing the measured data; and

classifying at least one signal of interest autonomously using machine learning (ML); and

creating actionable data based on at least one rule, at least one policy, and/or the measured data.

17. The method of claim 16 , wherein a source of the at least one signal of interest is at least one base station.

18. The method of claim 17 , wherein the actionable data includes parameters to modify for the at least one base station.

19. The method of claim 16 , further comprising optimizing resources based on the actionable data to improve performance of at least one customer application and/or at least one customer device.

20. The method of claim 16 , wherein a source of the at least one signal of interest is classified continuously.

Assignments (1)

Continuity (7)

References Cited (400)